Benchmark result
qwen38-27b-turbo on NVIDIA RTX A2000 12GB +1 more — 29.5 tok/s
Measured with llama.cpp manual on October 11, 2026.
What the model built
Open full screen →The coding scenario asks for a playable game in a single HTML file. This is exactly what the model returned, unedited; the frame only adds a line that tells this page how tall it is.
How this run compares
2nd fastest of 2 runs of this model on NVIDIA RTX A2000 12GB +1 more · Multi-GPU · median 29.7 tok/s.
sort
- 129.8tok/s78.0llama.cpp
- 229.5tok/s77.7llama.cppthis run
Reproduce this run
toolllama.cpp manual
modelqwen38-27b-turbo
context8,192
think limitnone
clientv0.4.92+102
Set those in llama.cpp, then:
llm-benchmark benchmark --model "qwen38-27b-turbo" --tool "llama.cpp"The client prompts for context length and thinking mode, and for the KV cache dtype on Unsloth Studio. Sampling is left at the model default — the values above are what the tool reported using, not overrides the client sent.